IBM Big Data Hub

DECEMBER 4, 2023

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

IBM Big Data Hub

JANUARY 16, 2024

It helps identify energy or carbon hotspots to develop an optimization roadmap. This varies based on workload characteristics; for instance, in the media or streaming industry, data transmission over the network and storing large unstructured data sets consume considerable energy.

IT 92

IT Cost-Benefit Consulting Measurement 92

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. . Data science & engineering.

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

Cloudera

AUGUST 31, 2020

Specifically, the busy hour simulation clearly identified that 95% of the legacy data warehouse queries could run on Hive LLAP with minor tweaks. By sustaining 30 Queries per Second (QPS) right off the bat, SMG was confident Hive LLAP could support the required concurrency with just a few optimizations. .

Slice and Dice 62

Slice and Dice Management Data Warehouse Analytics 62

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . public, private, hybrid cloud)?

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89